This paper is in the following e-collection/theme issue:

Orthopedics (55) Tools, Programs and Algorithms (237) Machine Learning (1373) Decision Support for Health Professionals (1129) Artificial Intelligence in Surgery and Perioperative Medicine (23) Perioperative Risk Assessment (13) Surgery, Trauma and Surgical Sciences (125) Clinical Information and Decision Making (1315)

Published on in Vol 11, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34096, first published .
Pilot Project for a Web-Based Dynamic Nomogram to Predict Survival 1 Year After Hip Fracture Surgery: Retrospective Observational Study

Pilot Project for a Web-Based Dynamic Nomogram to Predict Survival 1 Year After Hip Fracture Surgery: Retrospective Observational Study

Pilot Project for a Web-Based Dynamic Nomogram to Predict Survival 1 Year After Hip Fracture Surgery: Retrospective Observational Study

Authors of this article:

Graeme McLeod1, 2 Author Orcid Image ;   Iain Kennedy1 Author Orcid Image ;   Eilidh Simpson3 Author Orcid Image ;   Judith Joss1 Author Orcid Image ;   Katriona Goldmann4 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Lu X, Wang Z, Chong F, Wang Y, Wu S, Du Q, Gou W, Peng K, Xiong Y. A New Nomogram Model for Predicting 1-Year All-Cause Mortality After Hip Arthroplasty in Nonagenarians With Hip Fractures: A 20-Year Period Retrospective Cohort Study. Frontiers in Surgery 2022;9 View
  2. Chen B, Liu Y, Chen C, Chen Y, Kuo Y, Huang S. Correlation between C-reactive protein and postoperative mortality in patients undergoing hip fracture surgery: a meta-analysis. Journal of Orthopaedic Surgery and Research 2023;18(1) View
  3. Arina P, Kaczorek M, Hofmaenner D, Pisciotta W, Refinetti P, Singer M, Mazomenos E, Whittle J. Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools. Anesthesiology 2024;140(1):85 View